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Data Analyst Certification

Hireyy offers a comprehensive Data Analyst Certification Training consisting of 12 modules that cover essential skills such as Python, SQL, data visualization, and data wrangling. The course aims to prepare learners for a career in data analysis through hands-on training, mock interviews, and insights into industry expectations. Hireyy is a global e-learning platform that provides interactive online training to professionals and students across various fields.

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0% found this document useful (0 votes)
52 views10 pages

Data Analyst Certification

Hireyy offers a comprehensive Data Analyst Certification Training consisting of 12 modules that cover essential skills such as Python, SQL, data visualization, and data wrangling. The course aims to prepare learners for a career in data analysis through hands-on training, mock interviews, and insights into industry expectations. Hireyy is a global e-learning platform that provides interactive online training to professionals and students across various fields.

Uploaded by

navedp21
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Data Analyst Certification Training

Course Curriculum: Your 12-module Learning Plan

https://www.Hireyy.com
About Hireyy

Hireyy is a leading e-learning platform providing live instructor-led interactive online training. We
cater to professionals and students across the globe in categories like Big Data & Hadoop, Business
Analytics, NoSQL Databases, Java & Mobile Technologies, System Engineering, Project Management
and Programming. We have an easy and affordable learning solution that is accessible to millions of
learners. With our students spread across countries like the US, India, UK, Canada, and many
others, we have built a community of over 14000+ avid learners across the globe.

About Course

Hireyy's Data analysis online training will help you gain expertise in Python, SQL, Databases, Data
visualisation, and Numpy. This Data analyst training and placement course is a gateway towards your
career as a Data analyst with mock interviews and references for the 4 super organizations.

Powered Companies

www.Hireyy.com © 2025 Hireyy Work and Hire Pvt. Ltd. All rights Reserved.
Data Analyst Curriculum

Introduction to Data Analytics


Course Introduction
Modern Data Ecosystem
Key Players in the Data Ecosystem
Defining Data Analysis
Viewpoints: What is Data Analytics?
Responsibilities of a Data Analyst
Viewpoints: Qualities and Skills to be a Data Analyst
A Day in the Life of a Data Analyst
Viewpoints: Applications of Data Analytics
Data Analytics vs. Data Analysis
Summary and Highlights

The Data Ecosystem


Overview of the Data Analyst Ecosystem
Types of Data
Understanding Different Types of File Formats
Sources of Data
Languages for Data Professionals
Overview of Data Repositories
RDBMS
NoSQL
Data Marts, Data Lakes, ETL, and Data Pipelines
Foundations of Big Data
Big Data Processing Tools6m

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Data Analyst Curriculum

Gathering and Wrangling Data


Identifying Data for Analysis
Data Sources
How to Gather and Import Data
What is Data Wrangling?
Tools for Data Wrangling
Data Cleaning
Viewpoints: Data Preparation and Reliability

Mining & Visualizing Data and Communicating


Results
Overview of Statistical Analysis
What is Data Mining?
Tools for Data Mining
Overview of Communicating and Sharing Data Analysis
Findings
Viewpoints: Storytelling in Data Analysis
Introduction to Data Visualization
Introduction to Visualization and Dashboarding Software
Viewpoints: Visualization Tools

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Data Analyst Curriculum

Career Opportunities and Data Analysis in Action


Career Opportunities in Data Analysis
Viewpoints: Get into Data Profession
Viewpoints: What do Employers look for in a Data
Analyst?
The Many Paths to Data Analysis
Viewpoints: Career Options for Data Professionals
Viewpoints: Advice for aspiring Data Analysts
Viewpoints: Women in Data Professions

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Data Analyst Curriculum

Python Basics
Types
Expressions and Variables
String Operations3m

Python Data Structures


List and Tuples
Dictionaries
Sets

Python Programming Fundamentals


Conditions and Branching
Loops
Functions
Exception Handling
Objects and Classes

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Data Analyst Curriculum

Working with Data in Python


Reading Files with Open
Writing Files with Open
Loading Data with Pandas
Pandas: Working with and Saving Data
One Dimensional Numpy
Two Dimensional Numpy

APIs, and Data Collection


Simple APIs (Part 1)
Simple APIs (Part 2)
REST APIs & HTTP Requests - Part
REST APIs & HTTP Requests - Part
Optional: HTML for Webscraping
Webscraping
Working with different file formats (csv, xml, json, xlsx)

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Data Analyst Curriculum

Introduction to Relational Databases and Tables


Relational Database Concepts
How to create a Database instance on Cloud
Types of SQL statements (DDL vs. DML)
CREATE TABLE Statement
ALTER, DROP, and Truncate tables

Intermediate SQL
Using String Patterns and Ranges
Sorting Result Sets
Grouping Result Sets
Built-in Database Functions
Date and Time Built-in Functions
Sub-Queries and Nested Selects
Working with Multiple Tables6m

Intermediate SQL
How to Access Databases Using Python
Writing code using DB-API
Connecting to a database using ibm_db API
Creating tables, loading data and querying data
Analyzing data with Python9m

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Data Analyst Curriculum

Importing Datasets
The Problem
Understanding the Data
Python Packages for Data Science
Importing and Exporting Data in Python
Getting Started Analyzing Data in Python
Accessing Databases with Python

Data Wrangling
Pre-processing Data in Python
Dealing with Missing Values in Python
Data Formatting in Python
Data Normalization in Python
Binning in Python
Turning categorical variables into quantitative variables in Python

Exploratory Data Analysis


Exploratory Data Analysis
Descriptive Statistics
GroupBy in Python
Correlation
Correlation - Statistics
Association between two categorical variables: Chi-Square

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Data Analyst Curriculum

Model Development
Model Development
Linear Regression and Multiple Linear Regression
Model Evaluation using Visualization
Polynomial Regression and PipelinesMeasures for
In-Sample Evaluation
Prediction and Decision Making

Model Evaluation
Model Evaluation and Refinement
Overfitting, Underfitting and Model Selection
Ridge Regression
Grid Search

Introduction to Data Visualization Tools


Introduction to Data Visualization
Introduction to Matplotlib
Basic Plotting with Matplotlib
Dataset on Immigration to Canada
Line Plots

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Data Analyst Curriculum

Specialized Visualization Tools


Area Plots
Histograms
Bar Charts
Pie Charts
Box Plots
Scatter Plots

Advanced Visualizations and Geospatial Data


Waffle Charts
Word Clouds
Seaborn and Regression Plots
Introduction to Folium
Maps with Markers
Choropleth Maps

Creating Dashboards with Plotly and Dash


Dashboarding Overview
Introduction to Plotly
Introduction to Dash
Make dashboards interactive
------------------------------------------------------------
Module Overview and Learning Objectives
Additional Resources for Dashboards
Additional Resources for Plotly
Additional Resources for Dash
Additional Resources for Interactive Dashboards

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